pharmacovigilance

Digital

machine learning artificial intelligence

Building and training AI models for pharmacovigilance

There’s no escaping the rise of AI adoption and integration. It’s not so much a question of whether you will adopt AI into your business practices, but how.

Patients

Patient safety signals in non-traditional channels: AI and N...

The clinical research industry has experienced a seismic shift over the past few years, from the pandemic to decentralised trials to technological innovations.

R&D

Embracing a new future-ready pharmacovigilance ecosystem

Following her attendance at DIA Europe 2024, Humaira Qureshi from Qinecsa Solutions, discusses the historic challenges of pharmacovigilance and embracing a new future-ready ecosystem.

R&D

Automation of literature search and review

Over the years, pharmacovigilance (PV) processes have relied on PV professionals manually sifting through large volumes of data to identify, assess, and report Adverse Event (AE) informatio

Digital